xiaomo
678823d291
chore: remove completed eval plan, extract architecture to .cards
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CI / check (pull_request) Successful in 2m48s
Plan fully implemented: CLI (run/report/diff/list), runner, 4 builtin judges,
CAS storage, task loader, 6 test files. New card captures design decisions.
2026-06-07 15:02:59 +00:00
xingyue
af3c8cc249
Merge pull request 'chore: remove docs/, extract current knowledge to .cards' ( #164 ) from chore/remove-docs-folder into main
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CI / check (push) Successful in 3m42s
chore: remove docs/, extract current knowledge to .cards (#164 )
2026-06-07 14:51:51 +00:00
xiaomo
cb3a4acf4d
chore: remove docs/, extract current knowledge to .cards
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CI / check (pull_request) Successful in 3m57s
Remove 13 docs files (7 fully outdated @uncaged/* era, 6 superseded).
Extract 3 verified architectural facts as new .cards:
- frontmatter-fast-path: no LLM extraction, pure parse + schema validate + agent self-retry
- agent-cli-protocol: adapter output JSON via stdout, agent-owned step persistence
- status-based-moderator: pure graph lookup + mustache rendering, zero LLM cost
All 3 cards cross-checked against current source code (run.ts, evaluate.ts, frontmatter.ts).
2026-06-07 14:45:23 +00:00
xiaomo
c128fad38e
docs: add 6 FTE concept cards
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CI / check (pull_request) Successful in 2m51s
- agent-as-graduate: onboarding metaphor and teaching threshold
- three-learning-carriers: memory/skill/workflow framework
- switching-cost-process-knowledge-as-moat: process knowledge as moat
- opc-why-fte-agents-matter-most: why OpenClaw bets on FTE
- fte-maturity-threshold: who can onboard an agent
- fte-product-landscape: OpenClaw vs Claude Code vs Hermes
2026-06-07 14:26:30 +00:00
xiaomo
04e2b5b8a7
docs: expand .cards — vision, comparisons, business rationale, open questions
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CI / check (pull_request) Successful in 2m21s
26 cards covering:
- Project philosophy (session isolation, process discipline, dissipative structure)
- Comparisons (vs skill, vs dynamic workflow)
- Business rationale (FTE vs vendor, OPC, switching cost)
- Learning model (memory + skill + workflow)
- Self-improvement (reflective workflow, eval)
- Open questions (workflow granularity, human-in-the-loop)
2026-06-07 11:43:52 +00:00
xiaomo
22bffc5fcd
docs: add .cards — project philosophy and design rationale
CI / check (pull_request) Successful in 2m44s
2026-06-07 08:03:04 +00:00
xiaomo
xingyue